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New Discovery Tools
for Digital Humanities and Spatial Data
MIT July 2014
Merrick Lex Berman
Center for Geographic Analysis, Harvard
Physical discovery finding {scrolls}
John Willis Clark, The Care of Books (Cambridge, 1901).
Paul Pelliot at the Mogao Caves, Dunhuang (1908).
Transmission reading {texts}
John Willis Clark, The Care of Books (Cambridge, 1901).
The Emperor and the Assassin (1999).
Bound and chained preserving information {locks}
St. Walburga Library, Zutphen, Netherlands 1564).
Andrews, William: “Curiosities of the Church: Studies of Curious Customs, Services and Records” (1891)
Abyssinian manuscript (ms 134, Goldschmidt no 21) Frankfurt University Library
Bibliotheque Nationale
Binding pages: forming collections systematizing {knowledge}
indexing {resources}
Denver Public Library – Horses, biography.
John Allen, “Farewell Cards,” On Wisconsin Magazine, Summer 2012.
Internal catalogs → federated catalogs → digital indexing {URIs}
accessing {digital objects}
traversing {internal structures}
Denver Public Library – Horses, biography.
John Allen, “Farewell Cards,” On Wisconsin Magazine, Summer 2012.
integrating {digital surrogates}
Are footnotes connections or stops? citing {references}
“A Squib, from Dr. Jortin’s Tabby-Cat,” The Gentleman’s Magazine, (April 1792).
CHARON http://en.wikipedia.org/wiki/Charon_(mythology)
http://en.wikipedia.org/wiki/Greek_mythology
From references to graphs traversing {links}
William Cunningham,
The Cosmographical Glasse
(John Day, 1559).
Rational
structure
a tiny slice of the Internet (showing 5 million edges)
The center will not hold!
To a noisy interconnected universe of knowledge {graph}
So what happens to the library?
Philology Library at the Free University of Berlin
On the road from DH 1.0 to DH 2.0
monolithic database projects
- custom data models
- custom user interfaces
Patrik Svensson, The Landscape of Digital Humanities
http://digitalhumanities.org/dhq/vol/4/1/000080/000080.html
monolithic database projects
- custom data models
- custom user interfaces
open APIs
- machine readable
- metadata and content
monolithic database projects
- custom data models
- custom user interfaces
open APIs
- machine readable
- metadata and content
linked open data
- machine readable
- disaggregated
interoperability
- ontologies
monolithic database projects
- custom data models
- custom user interfaces
open APIs
- machine readable
- metadata and content
linked open data
- machine readable
- disaggregated
interoperability
- ontologies
open scholarship
- digital publication
- annotation
- interpretation
- curation + narrative
- collaborative
- open-ended
Geographic data and the library
Geospatial datasets - GIS
Geographic data and the library
Geospatial datasets - GIS
Maps and scanned maps
Geographic data and the library
Geospatial datasets - GIS
Maps and scanned maps
The catalog as geodata
Geospatial datasets
Maps and scanned maps
Federated search system
Digital Repository
The catalog as geodata geocoding {topnyms}
651 - Subject Added Entry-Geographic Name
https://maps.googleapis.com/maps/api/geocode/json?address=Georgia
What to geocode? parsing {tokens}
651 - Geographic Name
260 – Place of Publication
245 – Title
Mapping options: georss → openlayers serializing {feeds}
http://goo.gl/UTpwyt
Mapping options: json → leaflet Serializing { json }
http://goo.gl/NGLfh6
Mapping options: customized from Metacarta geocoding product
Mapping options: geoHollis beta demonstration
http://goo.gl/jorMvG
Issues raised: geoHollis beta
geocoding
- Identification of placenames in metadata varies in accuracy
- Ambiguous matches cannot be easily fixed
- Geocoding many types of information can be confusing
- No explicit way to match geocoded words to point on map
clustering
- Max number of search results greatly impacts the clusters
- The geocoded words don’t explain how the cluster was decided
facets
- adding and removing facets is essential
Moving forward: the semantic web linking data {rdf}
Richard Cyganiak, Linked Open Data Cloud (2011).
linking geodata {rdf}
Locations in Classical Texts and Atlases
Perseus Project
Pleiades
Google Ancient Places
Pelagios - linking historical objects to places - using Pleiades
Pelagios API http://pelagios.dme.ait.ac.at/api
Documentation http://pelagios-project.blogspot.com/
Pleiades
Pelagios - linking historical objects to places - using CHGIS
Pelagios API http://pelagios.dme.ait.ac.at/api
Documentation http://pelagios-project.blogspot.com/
Pleiades CHGIS
XML web service for Chinese historical placenames:
http://chgis.hmdc.harvard.edu/tgaz/apihttp://chgis.hmdc.harvard.edu/xml/
11111
CHGIS Gazetteer Web Service Temporal Gazetteer Web Service
Faceted search web service for historical placenames
RDF gazetteer interchange format
Potential connections: LOD projects in DH world
Pelagios
Implications for the future
Transformation of the catalog:
- metadata describing resources → direct access to digital resources
- users expect instant, machine-readable information
- human readable forms & facets → APIs
- users expect both discovery and deeper analysis of content
- aggregated data and visualizations of data rather than lists
- linked open data and the semantic web will encroach into library science
- graph databases and structures will get applied to search tools
For Geographic data:
- search and visualization using maps will be more commonplace
- catalog metadata will be geocoded (internally or on-the-fly)
Map to catalog spatial indexing {metadata}
Kalev Leetaru, “Fulltext Geocoding Versus Spatial Metadata for Large Text Archives: Towards a
Geographically Enriched Wikipedia” D-Lib Magazine, (Sep-Oct 2012)
http://goo.gl/VUWsvO
Unbound and linked analyzing {metadata}
Interesting examples using spatial search:
- New York Public Library – Maps Division
- Ed Summers ici webmap for wikipedia
- Europeana.eu
- Spatial History Project - Stanford
- Spatial Humantities – Scholar’s Lab - UVA
- MapRankSearch – Klokan Tech
- Digital Silk Road – Stein Placename Database
- GeoCLEF 2008
- Biodiversity of the Hengduan Mountains
Bibliography on big data and spatial humanities
https://www.zotero.org/groups/dh_and_big_data/items
Temporal Gazetteers and Linked Geodata
http://www.fas.harvard.edu/~chgis/gazetteer

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New Tools for Digital Humanities and Spatial Data

  • 1. New Discovery Tools for Digital Humanities and Spatial Data MIT July 2014 Merrick Lex Berman Center for Geographic Analysis, Harvard
  • 2. Physical discovery finding {scrolls} John Willis Clark, The Care of Books (Cambridge, 1901). Paul Pelliot at the Mogao Caves, Dunhuang (1908).
  • 3. Transmission reading {texts} John Willis Clark, The Care of Books (Cambridge, 1901). The Emperor and the Assassin (1999).
  • 4. Bound and chained preserving information {locks} St. Walburga Library, Zutphen, Netherlands 1564). Andrews, William: “Curiosities of the Church: Studies of Curious Customs, Services and Records” (1891)
  • 5. Abyssinian manuscript (ms 134, Goldschmidt no 21) Frankfurt University Library Bibliotheque Nationale Binding pages: forming collections systematizing {knowledge}
  • 6. indexing {resources} Denver Public Library – Horses, biography. John Allen, “Farewell Cards,” On Wisconsin Magazine, Summer 2012.
  • 7. Internal catalogs → federated catalogs → digital indexing {URIs}
  • 9. traversing {internal structures} Denver Public Library – Horses, biography. John Allen, “Farewell Cards,” On Wisconsin Magazine, Summer 2012.
  • 11. Are footnotes connections or stops? citing {references} “A Squib, from Dr. Jortin’s Tabby-Cat,” The Gentleman’s Magazine, (April 1792).
  • 13. William Cunningham, The Cosmographical Glasse (John Day, 1559). Rational structure
  • 14. a tiny slice of the Internet (showing 5 million edges) The center will not hold! To a noisy interconnected universe of knowledge {graph}
  • 15. So what happens to the library? Philology Library at the Free University of Berlin
  • 16. On the road from DH 1.0 to DH 2.0 monolithic database projects - custom data models - custom user interfaces Patrik Svensson, The Landscape of Digital Humanities http://digitalhumanities.org/dhq/vol/4/1/000080/000080.html
  • 17. monolithic database projects - custom data models - custom user interfaces open APIs - machine readable - metadata and content
  • 18. monolithic database projects - custom data models - custom user interfaces open APIs - machine readable - metadata and content linked open data - machine readable - disaggregated interoperability - ontologies
  • 19. monolithic database projects - custom data models - custom user interfaces open APIs - machine readable - metadata and content linked open data - machine readable - disaggregated interoperability - ontologies open scholarship - digital publication - annotation - interpretation - curation + narrative - collaborative - open-ended
  • 20. Geographic data and the library Geospatial datasets - GIS
  • 21. Geographic data and the library Geospatial datasets - GIS Maps and scanned maps
  • 22. Geographic data and the library Geospatial datasets - GIS Maps and scanned maps The catalog as geodata
  • 24. Maps and scanned maps Federated search system Digital Repository
  • 25. The catalog as geodata geocoding {topnyms} 651 - Subject Added Entry-Geographic Name https://maps.googleapis.com/maps/api/geocode/json?address=Georgia
  • 26. What to geocode? parsing {tokens} 651 - Geographic Name 260 – Place of Publication 245 – Title
  • 27. Mapping options: georss → openlayers serializing {feeds} http://goo.gl/UTpwyt
  • 28. Mapping options: json → leaflet Serializing { json } http://goo.gl/NGLfh6
  • 29. Mapping options: customized from Metacarta geocoding product
  • 30. Mapping options: geoHollis beta demonstration http://goo.gl/jorMvG
  • 31. Issues raised: geoHollis beta geocoding - Identification of placenames in metadata varies in accuracy - Ambiguous matches cannot be easily fixed - Geocoding many types of information can be confusing - No explicit way to match geocoded words to point on map clustering - Max number of search results greatly impacts the clusters - The geocoded words don’t explain how the cluster was decided facets - adding and removing facets is essential
  • 32. Moving forward: the semantic web linking data {rdf} Richard Cyganiak, Linked Open Data Cloud (2011).
  • 34. Locations in Classical Texts and Atlases Perseus Project Pleiades Google Ancient Places
  • 35. Pelagios - linking historical objects to places - using Pleiades Pelagios API http://pelagios.dme.ait.ac.at/api Documentation http://pelagios-project.blogspot.com/ Pleiades
  • 36. Pelagios - linking historical objects to places - using CHGIS Pelagios API http://pelagios.dme.ait.ac.at/api Documentation http://pelagios-project.blogspot.com/ Pleiades CHGIS
  • 37. XML web service for Chinese historical placenames:
  • 38. http://chgis.hmdc.harvard.edu/tgaz/apihttp://chgis.hmdc.harvard.edu/xml/ 11111 CHGIS Gazetteer Web Service Temporal Gazetteer Web Service Faceted search web service for historical placenames
  • 40. Potential connections: LOD projects in DH world Pelagios
  • 41. Implications for the future Transformation of the catalog: - metadata describing resources → direct access to digital resources - users expect instant, machine-readable information - human readable forms & facets → APIs - users expect both discovery and deeper analysis of content - aggregated data and visualizations of data rather than lists - linked open data and the semantic web will encroach into library science - graph databases and structures will get applied to search tools For Geographic data: - search and visualization using maps will be more commonplace - catalog metadata will be geocoded (internally or on-the-fly)
  • 42. Map to catalog spatial indexing {metadata}
  • 43. Kalev Leetaru, “Fulltext Geocoding Versus Spatial Metadata for Large Text Archives: Towards a Geographically Enriched Wikipedia” D-Lib Magazine, (Sep-Oct 2012) http://goo.gl/VUWsvO Unbound and linked analyzing {metadata}
  • 44. Interesting examples using spatial search: - New York Public Library – Maps Division - Ed Summers ici webmap for wikipedia - Europeana.eu - Spatial History Project - Stanford - Spatial Humantities – Scholar’s Lab - UVA - MapRankSearch – Klokan Tech - Digital Silk Road – Stein Placename Database - GeoCLEF 2008 - Biodiversity of the Hengduan Mountains
  • 45. Bibliography on big data and spatial humanities https://www.zotero.org/groups/dh_and_big_data/items Temporal Gazetteers and Linked Geodata http://www.fas.harvard.edu/~chgis/gazetteer